Voice focus enabled by predetermined triggers

ABSTRACT

Provided are techniques for voice focus enabled by predetermined triggers. Voice recognition is used to identify one or more pre-determined triggers from a voice of a speaker. In response to identifying the one or more pre-determined triggers, a voice recognition template is dynamically created for the voice of the speaker, and the voice recognition template and voice isolation are used to focus on the voice from the speaker.

BACKGROUND

Embodiments of the invention relate to voice focus enabled bypredetermined triggers. In certain embodiments, the voice recognitionenabled by predetermined triggers is implemented in a hearing aid.

For those who wear hearing aids, it can be difficult to distinguish aconversation in a crowd or in a situation that has a high amount ofbackground noise. This is known as the “cocktail party effect”.

Having a discussion or conversation in a crowded room or in a situationin which there is ambient noise may result in the speaker having toshout, and the person wearing the hearing aid to cup their ear and“point” their ear towards the speaker to help isolate the conversation.Another solution is to increase the volume of the hearing aid, which maycontribute to increased hearing loss. Moreover, yet another existingsolution uses keywords to position microphones in hearing aids towardthe speaker for better clarity.

SUMMARY

Provided is a method for voice focus enabled by predetermined triggers.The method comprises using, with a processor of a computer, voicerecognition to identify one or more pre-determined triggers from a voiceof a speaker; and, in response to identifying the one or morepre-determined triggers, dynamically creating a voice recognitiontemplate for the voice of the speaker, and using the voice recognitiontemplate and voice isolation to focus on the voice from the speaker.

Provided is a system for voice focus enabled by predetermined triggers.The computer system comprises: one or more processors, one or morecomputer-readable memories and one or more computer-readable, tangiblestorage devices; and program instructions, stored on at least one of theone or more computer-readable, tangible storage devices for execution byat least one of the one or more processors via at least one of the oneor more memories, to perform: using voice recognition to identify one ormore predetermined triggers from a voice of a speaker; and, in responseto identifying the one or more pre-determined triggers, dynamicallycreating a voice recognition template for the voice of the speaker, andusing the voice recognition template and voice isolation to focus on thevoice from the speaker.

Provided is a computer program product for voice focus enabled bypredetermined triggers. The computer program product comprises acomputer readable storage medium having program code embodied therewith,the program code executable by at least one processor to perform: using,by the at least one processor, voice recognition to identify one or morepre-determined triggers from a voice of a speaker; and, in response toidentifying the one or more pre-determined triggers, dynamicallycreating, by the at least one processor, a voice recognition templatefor the voice of the speaker, and using, by the at least one processor,the voice recognition template and voice isolation to focus on the voicefrom the speaker.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

Referring now to the drawings in which like reference numbers representcorresponding parts throughout:

FIG. 1 illustrates a computing device in accordance with certainembodiments.

FIG. 2 illustrates, in a flow diagram, operations performed by the voicefocus system for voice isolation in accordance with certain embodiments.

FIG. 3 illustrates, in a flow diagram, operations performed by the voicefocus system for initiating voice isolation in accordance with certainembodiments.

FIG. 4 depicts a cloud computing node in accordance with certainembodiments.

FIG. 5 depicts a cloud computing environment in accordance with certainembodiments.

FIG. 6 depicts abstraction model layers in accordance with certainembodiments.

DETAILED DESCRIPTION

The descriptions of the various embodiments of the present inventionhave been presented for purposes of illustration, but are not intendedto be exhaustive or limited to the embodiments disclosed. Manymodifications and variations will be apparent to those of ordinary skillin the art without departing from the scope and spirit of the describedembodiments. The terminology used herein was chosen to best explain theprinciples of the embodiments, the practical application or technicalimprovement over technologies found in the marketplace, or to enableothers of ordinary skill in the art to understand the embodimentsdisclosed herein.

FIG. 1 illustrates a computing device 100 in accordance with certainembodiments. The computing device 100 includes a voice focus system 110,one or more triggers 120 (which may be referred to as pre-determinedtriggers), and one or more voice recognition templates 130. Thecomputing device 100 may be any type of computing device, such as, asmartphone, a laptop computer, etc. In certain embodiments, thecomputing device 100 is a hearing aid or is incorporated into a hearingaid.

In various embodiments, “voice” may refer to speech or other audiblesounds received from a human, an animal (e.g., a dog, a bird, a dolphin,etc.), a computer, etc.). In certain embodiments, a speaker is a humanwho can make audible sound (either by the human's own voice or bymechanical or computer means (e.g., if the user is unable to use a voiceto speak). In certain embodiments, a speaker may be any animal or anycomputing system that can make an audible sound. Then, the one or moretriggers 120 may be trigger keywords (e.g., “Hello”) or otherpre-defined, audible sounds (e.g., a bark of a particular dog owned bythe listener). The voice focus system 110 listens for one or moretriggers 120 that indicate that a listener (e.g., a person holding thesmartphone or the wearer of a hearing aid) is being addressed by aspeaker, then the voice focus system 110 isolates the voice of thespeaker and cancels out background noise. The background noise may befrom other speakers or may be other types of noise (e.g., ambient noise,music, construction noise, etc.). By isolating the voice of the speakerand cancelling out background noise, the voice focus system “focusses”on the speaker.

FIG. 2 illustrates, in a flow diagram, operations performed by the voicefocus system 110 for voice isolation in accordance with certainembodiments. Control begins at block 200 with the voice focus system 110uses voice recognition (also referred to as “voice recognitiontechnology”) to identify one or more pre-determined triggers from avoice of a speaker directed towards a listener. In certain embodiments,the one or more pre-determined triggers include one or more words thataddress the listener. In certain embodiments, the triggers areassociated with the listener in a listener's voice recognition template.The one or more triggers engage (i.e., initiate) voice isolation (alsoreferred to as “voice isolation technology”).

The voice recognition may be described as identifying the speaker by,for example, characteristics of their voices (voice biometrics) andidentifying what words the speaker is saying. The voice biometrics maybe part of the voice recognition template. Then, the voice focus system110 determines whether the words are triggers.

In block 202, in response to the one or more trigger words beingidentified, the voice focus system 110 dynamically creates a voicerecognition template for the voice of the speaker or updates the voicerecognition template for the speaker, if one exists. In certainembodiments, the listener is provided with the option of whether tostore a created voice recognition template, A voice recognition templatemay be described as a data set containing parameters for speakerrecognition and settings for earpiece configuration. The parameters mayinclude unique voice biometrics related to the speaker's voice.

In block 204, the voice focus system 110 uses the voice recognitiontemplate and voice isolation to cancel background noise and focus on thevoice from the speaker. In certain embodiments, focusing on the voiceincludes isolating, from the background noise, words or other audiblesounds from the speaker.

Thus, the voice focus system 110 uses a two part approach to focus on avoice of a particular speaker when there are multiple speakers or noise(e.g., music) in addition to the voice of the particular speaker. First,the voice focus system 110 uses voice recognition to listen for apredetermined trigger directed to a listener (e.g., “Excuse me John” or“Hey John”). Second, a voice is identified as trying to address thelistener, the voice focus system 110 then identifies that speaker'svoice recognition template and uses voice isolation to “tune in” thespeaker who addressed the listener.

In certain embodiments, when multiple speakers address a listenersimultaneously or nearly simultaneously (e.g., within seconds of eachother), the voice focus system 110 dynamically creates voice recognitiontemplates for each of the multiple speakers. In certain embodiments, thevoice focus system 110 may select one of the multiple speakers to focuson using various factors. In certain embodiments, the factors are one ormore keywords, clarity of the conversation, direction of the speaker,and existing, stored speaker voice recognition templates.

FIG. 3 illustrates, in a flow diagram, operations performed by the voicefocus system for initiating voice isolation in accordance with certainembodiments. Control begins at block 300 with the voice focus system 110receiving raw speech. In block 302, the voice focus system 110 usesvoice recognition to identify one or more words in the raw speech. Inblock 304, the voice focus system 110 determines whether any of the oneor more words map to a trigger (e.g., a keyword or audible sound). Ifso, processing continues to block 306, otherwise, processing returns toblock 300 to process additional raw speech. In bock 306, the voice focussystem 110 initiates voice isolation.

Cloud Environment

It is understood in advance that although this disclosure includes adetailed description on cloud computing, implementation of the teachingsrecited herein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g. networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based email). Theconsumer does not manage or control the underlying cloud infrastructureincluding network, servers, operating systems, storage, or evenindividual application capabilities, with the possible exception oflimited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting for loadbalancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure comprising anetwork of interconnected nodes.

Referring now to FIG. 4, a schematic of an example of a cloud computingnode is shown. Cloud computing node 410 is only one example of asuitable cloud computing node and is not intended to suggest anylimitation as to the scope of use or functionality of embodiments of theinvention described herein. Regardless, cloud computing node 410 iscapable of being implemented and/or performing any of the functionalityset forth hereinabove.

In cloud computing node 410 there is a computer system/server 412, whichis operational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 412 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, handheld or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 412 may be described in the general context ofcomputer system executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 412 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 4, computer system/server 412 in cloud computing node410 is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 412 may include, but are notlimited to, one or more processors or processing units 416, a systemmemory 428, and a bus 418 that couples various system componentsincluding system memory 428 to processor 416.

Bus 418 represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnects (PCI) bus.

Computer system/server 412 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 412, and it includes both volatileand non-volatile media, removable and non-removable media.

System memory 428 can include computer system readable media in the formof volatile memory, such as random access memory (RAM) 430 and/or cachememory 432. Computer system/server 412 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, storage system 434 can be provided forreading from and writing to a non-removable, non-volatile magnetic media(not shown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to bus 418 by one or more datamedia interfaces. As will be further depicted and described below,memory 428 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of embodiments of the invention.

Program/utility 440, having a set (at least one) of program modules 442,may be stored in memory 428 by way of example, and not limitation, aswell as an operating system, one or more application programs, otherprogram modules, and program data. Each of the operating system, one ormore application programs, other program modules, and program data orsome combination thereof, may include an implementation of a networkingenvironment. Program modules 442 generally carry out the functionsand/or methodologies of embodiments of the invention as describedherein.

Computer system/server 412 may also communicate with one or moreexternal devices 414 such as a keyboard, a pointing device, a display424, etc.; one or more devices that enable a user to interact withcomputer system/server 412; and/or any devices (e.g., network card,modem, etc.) that enable computer system/server 412 to communicate withone or more other computing devices. Such communication can occur viaInput/Output (I/O) interfaces 422. Still yet, computer system/server 412can communicate with one or more networks such as a local area network(LAN), a general wide area network (WAN), and/or a public network (e.g.,the Internet) via network adapter 420. As depicted, network adapter 420communicates with the other components of computer system/server 412 viabus 418. It should be understood that although not shown, other hardwareand/or software components could be used in conjunction with computersystem/server 412. Examples, include, but are not limited to: microcode,device drivers, redundant processing units, external disk drive arrays,RAID systems, tape drives, and data archival storage systems, etc.

Referring now to FIG. 5, illustrative cloud computing environment 550 isdepicted. As shown, cloud computing environment 550 comprises one ormore cloud computing nodes 410 with which local computing devices usedby cloud consumers, such as, for example, personal digital assistant(PDA) or cellular telephone 554A, desktop computer 554B, laptop computer554C, and/or automobile computer system 554N may communicate. Nodes 410may communicate with one another. They may be grouped (not shown)physically or virtually, in one or more networks, such as Private,Community, Public, or Hybrid clouds as described hereinabove, or acombination thereof. This allows cloud computing environment 550 tooffer infrastructure, platforms and/or software as services for which acloud consumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 554A-Nshown in FIG. 5 are intended to be illustrative only and that computingnodes 410 and cloud computing environment 550 can communicate with anytype of computerized device over any type of network and/or networkaddressable connection (e.g., using a web browser).

Referring now to FIG. 6, a set of functional abstraction layers providedby cloud computing environment 550 (FIG. 5) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 6 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 660 includes hardware and softwarecomponents. Examples of hardware components include mainframes, in oneexample IBM® zSeries® systems; RISC (Reduced Instruction Set Computer)architecture based servers, in one example IBM pSeries® systems; IBMxSeries® systems; IBM BladeCenter® systems; storage devices; networksand networking components. Examples of software components includenetwork application server software, in one example IBM WebSphere®application server software; and database software, in one example IBMDB2® database software. (IBM, zSeries, pSeries, xSeries, BladeCenter,WebSphere, and DB2 are trademarks of International Business MachinesCorporation registered in many jurisdictions worldwide).

Virtualization layer 662 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers;virtual storage; virtual networks, including virtual private networks;virtual applications and operating systems; and virtual clients.

In one example, management layer 664 may provide the functions describedbelow. Resource provisioning provides dynamic procurement of computingresources and other resources that are utilized to perform tasks withinthe cloud computing environment. Metering and Pricing provide costtracking as resources are utilized within the cloud computingenvironment, and billing or invoicing for consumption of theseresources. In one example, these resources may comprise applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal provides access to the cloud computing environment forconsumers and system administrators. Service level management providescloud computing resource allocation and management such that requiredservice levels are met. Service Level Agreement (SLA) planning andfulfillment provide pre-arrangement for, and procurement of, cloudcomputing resources for which a future requirement is anticipated inaccordance with an SLA.

Workloads layer 666 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation; software development and lifecycle management; virtualclassroom education delivery; data analytics processing; transactionprocessing; and voice focus processing.

Thus, in certain embodiments, software or a program, implementing voicefocus processing in accordance with embodiments described herein, isprovided as a service in a cloud environment.

In certain embodiments, the computing device 100 has the architecture ofcomputing node 410. In certain embodiments, the computing device 100 ispart of a cloud environment. In certain alternative embodiments, thecomputing device 100 is not part of a cloud environment.

Additional Embodiment Details

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

1-7. (canceled)
 8. A computer system, comprising: one or moreprocessors, one or more computer-readable memories and one or morecomputer-readable, tangible storage devices; and program instructions,stored on at least one of the one or more computer-readable, tangiblestorage devices for execution by at least one of the one or moreprocessors via at least one of the one or more memories, to perform:using voice recognition to identify one or more pre-determined triggersfrom a voice of a speaker; and in response to identifying the one ormore pre-determined triggers, dynamically creating a voice recognitiontemplate for the voice of the speaker; and using the voice recognitiontemplate and voice isolation to focus on the voice from the speaker. 9.The computer system of claim 8, wherein the one or more predeterminedtriggers include one or more words that address a listener.
 10. Thecomputer system of claim 8, wherein focusing on the voice includescancelling out background noise.
 11. The computer system of claim 8,wherein focusing on the voice includes isolating words from the speaker.12. The computer system of claim 8, wherein the operations furthercomprise: determining that the voice recognition template exists for thespeaker; and dynamically updating the voice recognition template for thespeaker.
 13. The computer system of claim 8, wherein the identifying,the locating, and the using are performed in a hearing device.
 14. Thecomputer system of claim 8, wherein a Software as a Service (SaaS) isconfigured to perform the system operations.
 15. A computer programproduct, the computer program product comprising a computer readablestorage medium having program code embodied therewith, the program codeexecutable by at least one processor to perform: using, by the at leastone processor, voice recognition to identify one or more predeterminedtriggers from a voice of a speaker; and in response to identifying theone or more pre-determined triggers, dynamically creating, by the atleast one processor, a voice recognition template for the voice of thespeaker; and using, by the at least one processor, the voice recognitiontemplate and voice isolation to focus on the voice from the speaker. 16.The computer program product of claim 15, wherein the one or morepre-determined triggers include one or more words that address alistener.
 17. The computer program product of claim 15, wherein focusingon the voice includes cancelling out background noise.
 18. The computerprogram product of claim 15, wherein focusing on the voice includesisolating words from the speaker.
 19. The computer program product ofclaim 15, wherein the program code is executable by the at least oneprocessor to perform: determining, by the at least one processor, thatthe voice recognition template exists for the speaker; and dynamicallyupdating, by the at least one processor, the voice recognition templatefor the speaker.
 20. The computer program product of claim 15, wherein aSoftware as a Service (SaaS) is configured to perform the computerprogram product operations.